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dc.contributor.authorMuñoz Contreras, Angélica María-
dc.contributor.authorTigchelaar, Ettje F-
dc.contributor.authorZhernakova, Alexandra-
dc.contributor.authorDekens, Jackie A M-
dc.contributor.authorHermes, Gerben-
dc.contributor.authorBaranska, Agnieszka-
dc.contributor.authorMujagic, Zlatan-
dc.contributor.authorSwertz, Morris A-
dc.contributor.authorDeelen, Patrick-
dc.contributor.authorCénit, Maria C-
dc.contributor.authorFranke, Lude-
dc.contributor.authorScholtens, Salome-
dc.contributor.authorStolk, Ronald P-
dc.contributor.authorWijmenga, Cisca-
dc.contributor.authorFeskens, Edith J M-
dc.date.accessioned2021-08-01T21:28:15Z-
dc.date.available2021-08-01T21:28:15Z-
dc.date.issued2015-
dc.identifier.citationTigchelaar EF, Zhernakova A, Dekens JAM, et al. Cohort profile: LifeLines DEEP, a prospective, general population cohort study in the northern Netherlands: study design and baseline characteristics. BMJ Open 2015;5:e006772spa
dc.identifier.issn2044-6055-
dc.identifier.urihttp://hdl.handle.net/10495/21399-
dc.description.abstractABSTRACT: Purpose: There is a critical need for population-based prospective cohort studies because they follow individuals before the onset of disease, allowing for studies that can identify biomarkers and disease-modifying effects, and thereby contributing to systems epidemiology. Participants: This paper describes the design and baseline characteristics of an intensively examined subpopulation of the LifeLines cohort in the Netherlands. In this unique subcohort, LifeLines DEEP, we included 1539 participants aged 18 years and older. Findings to date: We collected additional blood (n=1387), exhaled air (n=1425) and faecal samples (n=1248), and elicited responses to gastrointestinal health questionnaires (n=1176) for analysis of the genome, epigenome, transcriptome, microbiome, metabolome and other biological levels. Here, we provide an overview of the different data layers in LifeLines DEEP and present baseline characteristics of the study population including food intake and quality of life. We also describe how the LifeLines DEEP cohort allows for the detailed investigation of genetic, genomic and metabolic variation for a wide range of phenotypic outcomes. Finally, we examine the determinants of gastrointestinal health, an area of particular interest to us that can be addressed by LifeLines DEEP. Future plans: We have established a cohort of which multiple data levels allow for the integrative analysis of populations for translation of this information into biomarkers for disease, and which will offer new insights into disease mechanisms and prevention.spa
dc.format.extent9spa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherBMJ Publishing Groupspa
dc.type.hasversioninfo:eu-repo/semantics/publishedVersionspa
dc.rightsinfo:eu-repo/semantics/openAccessspa
dc.rights.urihttp://creativecommons.org/licenses/by/2.5/co/*
dc.titleCohort profile: LifeLines DEEP, a prospective, general population cohort study in the northern Netherlands: study design and baseline characteristicsspa
dc.typeinfo:eu-repo/semantics/articlespa
dc.publisher.groupAlimentación y Nutrición Humanaspa
dc.identifier.doi10.1136/bmjopen-2014-006772-
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.rights.accessrightshttp://purl.org/coar/access_right/c_abf2spa
dc.identifier.eissn2044-6056-
oaire.citationtitleBMJ Openspa
oaire.citationstartpage1spa
oaire.citationendpage10spa
oaire.citationvolume5spa
dc.rights.creativecommonshttps://creativecommons.org/licenses/by/4.0/spa
dc.publisher.placeLondres, Inglaterraspa
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1spa
dc.type.redcolhttps://purl.org/redcol/resource_type/ARTspa
dc.type.localArtículo de investigaciónspa
dc.subject.decsBiomarcadores-
dc.subject.decsBiomarkers-
dc.subject.decsEstudios Prospectivos-
dc.subject.decsProspective Studies-
dc.subject.decsPrevención de Enfermedades-
dc.subject.decsDisease Prevention-
dc.subject.decsGenética-
dc.subject.decsGenetics-
dc.subject.decsSalud Pública-
dc.subject.decsPublic Health-
dc.subject.decsEpidemiología-
dc.subject.decsEpidemiology-
dc.description.researchgroupidCOL0000407spa
dc.relation.ispartofjournalabbrevBMJ Openspa
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